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Ai Applications Engineer Jobs in Indiana (NOW HIRING)

ZYLO, INC.

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

... SaaS applications. Zylo helps companies reduce costs and minimize risk by centralizing SaaS ... Overview We are seeking an experienced Senior AI Engineer to lead the evolution of our enterprise ...

SEP

AI Engineer (in person)

Westfield, IN · On-site

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI ... Apply AI to real-world applications, not just theoretical use cases or prototypes * Flexible ...

SEP

AI Engineer (in person)

Westfield, IN

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI ... Apply AI to real-world applications, not just theoretical use cases or prototypes * Flexible ...

SEP

AI Engineer (in person)

Westfield, IN · On-site

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI ... Apply AI to real-world applications, not just theoretical use cases or prototypes * Flexible ...

Liberty Mutual

Senior Engineer-UiPath/AWS

Indianapolis, IN · Hybrid

$106K - $197K/yr

... Engineer for a team in our Automation portfolio. In this role you will work within an Agile ... Create innovative AI-driven solutions using UiPath IXP or AWS Bedrock to enhance business processes ...

Leidos

Sr. Web Application Developer

Indianapolis, IN · On-site

... AI-enabled solutions engineer. This role requires a well-rounded full-stack background across ... Lead the architecture, design, and development of modern web applications across a diverse ...

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Ai Applications Engineer information

How does an AI Applications Engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

What is the difference between Ai Applications Engineer vs Data Scientist?

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What is a $900000 AI job?

A $900,000 AI applications engineer role typically refers to a high-level position in artificial intelligence development, often involving advanced skills in machine learning, deep learning, and data analysis. Such compensation may include base salary, bonuses, and stock options, usually found in senior or specialized roles within tech companies or startups. These positions often require extensive experience, certifications, and a strong understanding of AI tools and frameworks.

What are the key skills and qualifications needed to thrive as an AI Applications Engineer, and why are they important?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

What does an AI application engineer do?

An AI application engineer designs, develops, and implements artificial intelligence solutions to solve specific problems or improve processes. They work with machine learning models, programming languages like Python or Java, and tools such as TensorFlow or PyTorch, often collaborating with data scientists and software developers to deploy AI systems in real-world applications.

Which 3 jobs will survive AI?

AI Applications Engineers are likely to continue to find roles in developing, implementing, and maintaining AI systems, as their expertise in integrating AI solutions remains in demand. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to fully replicate or automate.

What engineer makes $500,000 a year?

Highly experienced AI Applications Engineers working in senior or specialized roles at large tech companies or in consulting can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such roles typically require advanced skills in machine learning, deep learning, and software development, along with significant industry experience and often a master's or Ph.D. degree.

What are AI Applications Engineers?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.
What are popular job titles related to Ai Applications Engineer jobs in Indiana? For Ai Applications Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Applications Engineer jobs in Indiana look for? The top searched job categories for Ai Applications Engineer jobs in Indiana are:
What cities in Indiana are hiring for Ai Applications Engineer jobs? Cities in Indiana with the most Ai Applications Engineer job openings:
Ai Applications Engineer jobs near you
Infographic showing various Ai Applications Engineer job openings in Indiana as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Sr. AI Engineer

Sr. AI Engineer

ZYLO, INC.

Indianapolis, IN • On-site

$99K - $137K/yr

Other

Re-posted 2 days ago

Job description

Description

Zylo is the enterprise leader in SaaS Management, enabling companies to discover, manage, and optimize their SaaS applications. Zylo helps companies reduce costs and minimize risk by centralizing SaaS inventory, license, and renewal management. Trusted by industry leaders, Zylo's AI-powered platform provides unmatched visibility into SaaS usage and spend. Powered by the industry's most intelligent discovery engine, Zylo continuously uncovers hidden SaaS applications, giving companies greater control over their SaaS portfolio. With more than 30 million SaaS licenses and $75 billion in SaaS spend under management, Zylo delivers the deepest insights, backed by more data than any other provider.


Overview

We are seeking an experienced Senior AI Engineer to lead the evolution of our enterprise SaaS platform's agentic AI capabilities. You'll drive strategic AI initiatives that solve complex client problems while working with large-scale datasets for global enterprise customers. This role combines deep technical expertise in AI agents, RAG systems, and enterprise integration with strategic thinking about how AI can transform our platform and deliver exceptional business value..


What you will do

  • Drive strategic AI initiatives that directly impact client success and business growth, defining technical roadmaps and influencing product strategy to solve complex enterprise problems
  • Architect and enhance our agentic processes for enterprise-scale deployments, building sophisticated multi-agent orchestration patterns for complex workflows
  • Design advanced agent memory systems and context management solutions that maintain coherence across long-running conversations and extended enterprise tasks
  • Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets
  • Develop enterprise-grade MCP (Model Context Protocol) services enabling seamless client agent integration with standardized APIs, security protocols, and comprehensive documentation
  • Leverage AWS technologies (Bedrock, Lambda, etc) to architect AI solutions with optimal performance, cost efficiency, and enterprise-scale LLM integration
  • Design and optimize schemas for storing LLM interactions, agent state, and conversation history while building monitoring systems for AI operations
  • Lead cross-functional initiatives to integrate AI throughout our platform ecosystem, partnering with product and engineering teams to deliver measurable business value
  • Translate complex technical AI concepts into business value, working directly with enterprise clients to understand their needs and influence strategic platform decisions
  • Mentor engineering teams on AI best practices, emerging technologies, and enterprise AI governance while maintaining high engineering standards for production AI systems.

Requirements

What you need

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience in AI/ML engineering with at least 2 years in a senior role
  • Proven experience building and deploying AI agents or conversational AI systems in production
  • Experience working with large-scale enterprise datasets and SaaS platforms.
  • Expertise in design patterns for memory systems and context management solutions and optimization for AI workloads
  • Experience with Amazon Bedrock and AWS Lambda for serverless AI deployments
  • Experience with RAG systems, vector databases, and semantic search
  • Understanding of Model Context Protocol (MCP) and AI agent integration patterns
  • Proficiency in programming languages such as Python, PySpark, SQL and ML frameworks such as TensorFlow, PyTorch..
  • Knowledge of enterprise security patterns and compliance requirements
  • Ability to articulate technical concepts to technical and non-technical stakeholders.
  • Ability to thrive in a fast-paced, dynamic environment.
  • Flexibility to adapt to changing priorities and requirements.

Nice to have

  • Experience in SaaS Management or Software Asset Management.
  • Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Knowledge of ethical AI, bias mitigation, and AI safety best practices
  • Experience with LangChain and LangGraph frameworks

At Zylo, we're committed to Growing Stronger Together by fostering a diverse and inclusive workplace. We believe that a variety of perspectives not only fuels innovation, but also allows us to better serve our diverse customer base. If you meet the essential qualifications, we encourage you to apply and join us on this journey. Still growing in your career? Connect with our talent community-we're always looking for future Zylos who share our passion for continuous learning.

Apply